Triple
T17621847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfram & Hart |
E429725
|
entity |
| Predicate | notableEmployee |
P304
|
FINISHED |
| Object | Lindsey McDonald |
—
|
NE NERFINISHED |
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: Lindsey McDonald | Statement: [Wolfram & Hart, notableEmployee, Lindsey McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsey McDonald Context triple: [Wolfram & Hart, notableEmployee, Lindsey McDonald]
-
A.
Lindsey McDonald
chosen
Lindsey McDonald is a morally conflicted lawyer and recurring antagonist-turned-antihero in the television series "Angel," known for his work at the demonic law firm Wolfram & Hart.
-
B.
Margaret McTague
Margaret McTague was the wife of New York politician and long-serving U.S. Senator Robert F. Wagner.
-
C.
Kate Ellis
Kate Ellis is the responsible, straight-laced older sister portrayed by Tina Fey in the 2015 comedy film "Sisters," whose attempts to manage a final blowout party with her sibling drive much of the movie’s humor and heart.
-
D.
Catherine Ryan Hyde
Catherine Ryan Hyde is an American author best known for her novel "Pay It Forward," which inspired the popular film of the same name.
-
E.
Elizabeth Kling
Elizabeth Kling is a film editor known for her work on the fantasy-romance movie "Practical Magic."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46db98c54819088dadec9f6bcc559 |
completed | April 19, 2026, 5:52 a.m. |
Created at: April 10, 2026, 5:52 a.m.