Triple
T21447910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Tamiia Poitier |
E529125
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Abby |
unclear NED1
|
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: [Sydney Tamiia Poitier, notableWork, Abby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abby Context triple: [Sydney Tamiia Poitier, notableWork, 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 central character in the Coen brothers’ neo-noir crime film "Blood Simple," whose troubled marriage and affair help set off the movie’s spiral of betrayal and violence.
-
C.
Abby
Abby is a feminine given name, often used as a diminutive of Abigail and popular in English-speaking countries.
-
D.
Abby
Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d04548819086594c20faa5217d |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c907cb9c8190b4a50551b274a915 |
completed | May 17, 2026, 1:56 p.m. |
Created at: April 16, 2026, 6:06 p.m.