Triple
T15592395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Kolker |
E374776
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Big Pond |
E792200
|
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: The Big Pond | Statement: [Henry Kolker, notableWork, The Big Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Pond Context triple: [Henry Kolker, notableWork, The Big Pond]
-
A.
The Big Pond
chosen
The Big Pond is a 1930 romantic comedy film starring Maurice Chevalier and Claudette Colbert, known for its early use of sound and Chevalier’s popular musical numbers.
-
B.
The Pond
"The Pond" is a painting by British artist L. S. Lowry, depicting an industrial urban scene in his distinctive naïve style populated by matchstick-like figures.
-
C.
The Pond
The Pond is a small, picturesque lake in central Reykjavík, Iceland, known for its birdlife and surrounding parkland.
-
D.
The Pond
The Pond is a picturesque man-made lake in the southeast corner of New York City's Central Park, known for its tranquil scenery, wildlife, and views of the surrounding skyline.
-
E.
In the Pond
"In the Pond" is a satirical novel by Ha Jin that portrays a Chinese factory worker’s struggle against corruption and bureaucracy in post-Mao China.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c55fa248190b114a5b63560f87b |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:12 a.m.