Triple
T6834549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DESY |
E157416
|
entity |
| Predicate | formerFacility |
P4380
|
FINISHED |
| Object |
DORIS
DORIS was a particle accelerator and storage ring at the DESY research center in Hamburg, Germany, used primarily for high-energy physics and later as a synchrotron radiation source.
|
E621155
|
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: DORIS | Statement: [DESY, formerFacility, DORIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DORIS Context triple: [DESY, formerFacility, DORIS]
-
A.
Doris
Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
-
B.
Doris
Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
-
C.
Doris
Doris is the given name of Doris Buffett, an American philanthropist and sister of investor Warren Buffett, known for her charitable work and focus on direct, person-to-person giving.
-
D.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
E.
Isadora
Isadora is a 1968 biographical drama film starring Vanessa Redgrave as the pioneering modern dancer Isadora Duncan.
- 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: DORIS Triple: [DESY, formerFacility, DORIS]
Generated description
DORIS was a particle accelerator and storage ring at the DESY research center in Hamburg, Germany, used primarily for high-energy physics and later as a synchrotron radiation source.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DORIS Target entity description: DORIS was a particle accelerator and storage ring at the DESY research center in Hamburg, Germany, used primarily for high-energy physics and later as a synchrotron radiation source.
-
A.
Doris
Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
-
B.
Doris
Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
-
C.
Doris
Doris is the given name of Doris Buffett, an American philanthropist and sister of investor Warren Buffett, known for her charitable work and focus on direct, person-to-person giving.
-
D.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
E.
Isadora
Isadora is a 1968 biographical drama film starring Vanessa Redgrave as the pioneering modern dancer Isadora Duncan.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67936288190829fedc3729aadd8 |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723fd50c88190af005fd58ca0aee6 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c7247806808190ac60c134cec612c8 |
completed | March 28, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7253b94f081909e7cee870a12af6b |
completed | March 28, 2026, 12:47 a.m. |
Created at: March 27, 2026, 2:18 p.m.