Triple
T5188587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Gideon |
E117091
|
entity |
| Predicate | flirtsWith |
P26473
|
FINISHED |
| Object | Angelique |
E329776
|
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: Angelique | Statement: [Joe Gideon, flirtsWith, Angelique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelique Context triple: [Joe Gideon, flirtsWith, Angelique]
-
A.
Annabella
Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
-
B.
Angélique
chosen
Angélique is a French feminine given name historically borne by figures such as Angélique Diderot, the daughter of philosopher Denis Diderot.
-
C.
Delilah
Delilah is a biblical figure best known for betraying Samson by discovering and revealing the secret of his strength.
-
D.
Delilah
"Delilah" is a song by English indie rock band Florence and the Machine, featured on their 2015 album *How Big, How Blue, How Beautiful*.
-
E.
Delilah
Delilah is a staff member at the Tranquillum House wellness resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers," involved in the unconventional treatment of the guests.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c56280819085926316f7b520bc |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee08af954819080dbe7ea1ac6ddb0 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.