Triple
T17665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christianity |
E348
|
entity |
| Predicate | hasSymbol |
P129
|
FINISHED |
| Object |
chi-rho
The chi-rho is an early Christian monogram formed from the first two Greek letters of "Christ," used as a symbol of Jesus and the Christian faith.
|
E1248
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: chi-rho | Statement: [Christianity, hasSymbol, chi-rho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: chi-rho Context triple: [Christianity, hasSymbol, chi-rho]
-
A.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
B.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
C.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
D.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
-
E.
.cl
.cl is the country code top-level domain (ccTLD) assigned to Chile for use on the internet.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: chi-rho Triple: [Christianity, hasSymbol, chi-rho]
Generated description
The chi-rho is an early Christian monogram formed from the first two Greek letters of "Christ," used as a symbol of Jesus and the Christian faith.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: chi-rho Target entity description: The chi-rho is an early Christian monogram formed from the first two Greek letters of "Christ," used as a symbol of Jesus and the Christian faith.
-
A.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
B.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
C.
Feynman–Hellmann theorem
The Feynman–Hellmann theorem is a result in quantum mechanics that relates the derivative of an energy eigenvalue with respect to a parameter in the Hamiltonian to the expectation value of the corresponding derivative of the Hamiltonian.
-
D.
Veritas
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
E.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a2465d9038819087f875a5afac9541 |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248e73c6c8190a83d10709aa3f9c7 |
completed | Feb. 28, 2026, 1:46 a.m. |
| NEDg | Description generation | batch_69a249cbc63881908a99d2f82270b96b |
completed | Feb. 28, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24a54686c819088cfe99468b2c693 |
completed | Feb. 28, 2026, 1:52 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.