Triple
T5885068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacey Sher |
E130841
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stacey Sher |
E130841
|
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: Stacey Sher | Statement: [Stacey Sher, name, Stacey Sher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacey Sher Context triple: [Stacey Sher, name, Stacey Sher]
-
A.
Stacey Sher
chosen
Stacey Sher is an American film and television producer known for her work on acclaimed movies such as "Django Unchained," "Pulp Fiction," and "Erin Brockovich."
-
B.
Stacy Haiduk
Stacy Haiduk is an American actress known for her work in television, including prominent roles in series such as seaQuest DSV, Superboy, and various daytime soap operas.
-
C.
Lesli Linka Glatter
Lesli Linka Glatter is an American television director and producer known for her work on acclaimed series such as Homeland, Mad Men, and The West Wing.
-
D.
Stacey Mindich
Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
-
E.
Rainey Reitman
Rainey Reitman is a digital rights and civil liberties advocate known for her leadership roles in organizations defending press freedom and online privacy.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0367743508190bae211e9ce8f9690 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13839f48190b23f22d5317eb571 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.