Triple
T10695454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abby Brammell |
E252126
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Abby |
E627746
|
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: Abby | Statement: [Abby Brammell, hasGivenName, Abby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abby Context triple: [Abby Brammell, hasGivenName, Abby]
-
A.
Abby
Abby is a central character in the stage play "The Late Christopher Bean," around whom much of the drama and moral conflict revolves.
-
B.
Abby
Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
-
C.
Abby
chosen
Abby is a feminine given name, often used as a diminutive of Abigail and popular in English-speaking countries.
-
D.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
-
E.
Abby McGrew
Abby McGrew is an American philanthropist best known as the wife of former NFL quarterback Eli Manning.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd3af5248190ab807965255e9ad2 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998da1738819099a9090c3e8badc9 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:11 p.m.