Triple
T14757785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Ross |
E346774
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Funny Lady |
E501965
|
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: Funny Lady | Statement: [Herbert Ross, directed, Funny Lady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funny Lady Context triple: [Herbert Ross, directed, Funny Lady]
-
A.
Funny Lady
chosen
Funny Lady is a 1975 musical film sequel to Funny Girl that continues the fictionalized story of comedian and singer Fanny Brice, again portrayed by Barbra Streisand.
-
B.
Lovely Lady
Lovely Lady is a fragrance from the Made in Brooklyn collection, known for its feminine, urban-inspired scent profile.
-
C.
Walks Like a Lady
"Walks Like a Lady" is a song by the American rock band Journey from their 1980 album Departure.
-
D.
Fine Lady
Fine Lady is the folkloric figure celebrated in the English nursery rhyme "Ride a cock horse to Banbury Cross," often depicted as a richly dressed woman on horseback.
-
E.
Funny Face
Funny Face is a 1957 musical romantic comedy film starring Audrey Hepburn and Fred Astaire, celebrated for its fashion-forward Paris setting, iconic dance numbers, and classic songs.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24afff788190ab4925ead7ce90d2 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.