Triple
T12616901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Zane |
E301276
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Louis Litt |
E660492
|
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: Louis Litt | Statement: [Rachel Zane, associatedWith, Louis Litt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Litt Context triple: [Rachel Zane, associatedWith, Louis Litt]
-
A.
Louis Litt
chosen
Louis Litt is a brilliant yet neurotic corporate lawyer from the TV series "Suits," known for his intense loyalty, insecurity, and often comedic rivalry with his colleagues at the firm.
-
B.
Bunji Garlin
Bunji Garlin is a Trinidadian soca artist known for his rapid-fire lyrical style and for helping bring Caribbean soca music to international audiences.
-
C.
Omar Epps
Omar Epps is an American actor and producer best known for his roles in films like "Love & Basketball" and the TV series "House."
-
D.
Tituss Burgess
Tituss Burgess is an American actor and singer best known for his comedic role as Titus Andromedon on the Netflix series "Unbreakable Kimmy Schmidt" and his work on Broadway.
-
E.
Mitch Robbins
Mitch Robbins is the neurotic, middle-aged New Yorker who embarks on a life-changing cattle drive in the comedy film "City Slickers."
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed2e12c819097cfd2a40116f491 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:13 p.m.