Triple
T2844573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elias Disney |
E62552
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elias |
E288297
|
NE FINISHED |
How this triple was built (2 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: Elias | Statement: [Elias Disney, givenName, Elias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elias Context triple: [Elias Disney, givenName, Elias]
-
A.
Elias
Elias is a central child protagonist in the Danish drama film "In a Better World," whose experiences explore themes of bullying, revenge, and moral responsibility.
-
B.
Elias
chosen
Elias is a masculine given name of Hebrew origin meaning "Yahweh is God," commonly used in various European and English-speaking countries.
-
C.
Eli
Eli is a given name most famously associated with American inventor Eli Whitney, known for creating the cotton gin.
-
D.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
E.
Elijah
Elijah is a minor, Bible-quoting street preacher in the play and film "Inherit the Wind," symbolizing religious fervor and public opinion in the story’s courtroom drama.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1b58c88190b45d8c5a76dc52ac |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d850b481909850ff5e89021824 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.