Triple
T7442708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steel (1997 film) |
E171792
|
entity |
| Predicate | weaponFeature |
P76424
|
FINISHED |
| Object | high-tech hammer |
—
|
LITERAL 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: high-tech hammer | Statement: [Steel (1997 film), weaponFeature, high-tech hammer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponFeature Context triple: [Steel (1997 film), weaponFeature, high-tech hammer]
-
A.
weaponCapability
Indicates that one entity has the ability to use, deploy, or function as a weapon against another entity or target.
-
B.
greaterArmsFeature
Indicates that one entity possesses a more prominent or advanced arm-related feature than another entity.
-
C.
weaponDesigner
Indicates that one entity is the creator or designer of a weapon used or associated with another entity.
-
D.
weaponMount
Indicates that one entity serves as a mounting point or support structure for attaching or holding a weapon on another entity.
-
E.
missionEquipment
Indicates that certain equipment is assigned to, used for, or associated with carrying out a specific mission.
- F. None of above. chosen
Provenance (4 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36d0fbc81908cb7cfe99f80de08 |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:13 p.m.