Triple
T14359149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaolin vs. Wu-Tang |
E356049
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Snake Pond
Snake Pond is a notable location featured in the classic Hong Kong martial arts film "Shaolin vs. Wu-Tang."
|
E1096982
|
NE FINISHED |
How this triple was built (4 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: Snake Pond | Statement: [Shaolin vs. Wu-Tang, hasPart, Snake Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snake Pond Context triple: [Shaolin vs. Wu-Tang, hasPart, Snake Pond]
-
A.
Heart Pond
Heart Pond is a popular recreational lake and beach area in Chelmsford, Massachusetts, known for swimming, fishing, and walking trails.
-
B.
Forge Pond
Forge Pond is a small recreational and scenic lake located in the town of Westford in northeastern Massachusetts.
-
C.
Frog Pond
Frog Pond is a historic, central water feature in Boston Common that serves as a popular public skating rink in winter and a splash pool and gathering spot in warmer months.
-
D.
Sand Pond
Sand Pond is a small natural pond located within the Blackwell Forest Preserve in DuPage County, Illinois, known for its scenic setting and wildlife habitat.
-
E.
Sand Pond
Sand Pond is a small freshwater lake located near the town of Norway in western Maine, known for its quiet, scenic setting and recreational use.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Snake Pond Triple: [Shaolin vs. Wu-Tang, hasPart, Snake Pond]
Generated description
Snake Pond is a notable location featured in the classic Hong Kong martial arts film "Shaolin vs. Wu-Tang."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snake Pond Target entity description: Snake Pond is a notable location featured in the classic Hong Kong martial arts film "Shaolin vs. Wu-Tang."
-
A.
Heart Pond
Heart Pond is a popular recreational lake and beach area in Chelmsford, Massachusetts, known for swimming, fishing, and walking trails.
-
B.
Forge Pond
Forge Pond is a small recreational and scenic lake located in the town of Westford in northeastern Massachusetts.
-
C.
Frog Pond
Frog Pond is a historic, central water feature in Boston Common that serves as a popular public skating rink in winter and a splash pool and gathering spot in warmer months.
-
D.
Sand Pond
Sand Pond is a small natural pond located within the Blackwell Forest Preserve in DuPage County, Illinois, known for its scenic setting and wildlife habitat.
-
E.
Sand Pond
Sand Pond is a small freshwater lake located near the town of Norway in western Maine, known for its quiet, scenic setting and recreational use.
- F. None of above. chosen
Provenance (5 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550ca6b88190b76cd486bdd66fdf |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56844d7c8190906b6550fb1c28d5 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5731c9188190bda2958bef87dfe2 |
completed | May 8, 2026, 3:23 a.m. |
Created at: April 10, 2026, 1:15 a.m.