Triple
T37126949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gobber the Belch |
E919412
|
entity |
| Predicate | missingLimb |
P53592
|
FINISHED |
| Object | left arm |
—
|
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: left arm | Statement: [Gobber the Belch, missingLimb, left arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missingLimb Context triple: [Gobber the Belch, missingLimb, left arm]
-
A.
lostLimb
chosen
Indicates that an entity has had one or more of its limbs removed or rendered permanently absent, typically as a result of injury, surgery, or trauma.
-
B.
lostLimbTo
Indicates that one entity has had a limb removed, severed, or rendered nonfunctional as a direct result of another entity or cause.
-
C.
lacksBodyPart
Indicates that one entity does not possess or is missing a specific body part in relation to another entity or a defined whole.
-
D.
missingOrgan
Indicates that an entity lacks or no longer possesses a specific organ that would normally be present.
-
E.
hasLimb
Indicates that an entity possesses a specific limb as part of its body.
- F. None of above.
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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:15 p.m.