Triple
T16633838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Lambert |
E404146
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Point Men |
E543675
|
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 Point Men | Statement: [Christopher Lambert, notableWork, The Point Men]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Point Men Context triple: [Christopher Lambert, notableWork, The Point Men]
-
A.
The Point Men
chosen
The Point Men is a film featuring actress Kerry Fox in a prominent role.
-
B.
The Point
The Point was the original name of Dublin's major indoor entertainment and events venue now known as the 3Arena.
-
C.
The Point
The Point is a dynamic sandy spit at the tip of Cape Henlopen in Delaware, known for its shifting dunes, bird habitat, and views where the Delaware Bay meets the Atlantic Ocean.
-
D.
The Point
The Point is a renowned surf break within Santa Cruz’s Steamer Lane, known for its consistent right-hand waves and popularity among experienced surfers.
-
E.
The Point
The Point is a small coastal community on the Caribbean island of Utila in Honduras, known for its laid-back atmosphere and proximity to popular diving and snorkeling sites.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e7d4a48190a9b4a14ecbb2a14b |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b984d081909f76ef874431ff40 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.