Triple
T17909054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamondhead |
E447773
|
entity |
| Predicate | canReattachBodyParts |
P129264
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Diamondhead, canReattachBodyParts, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canReattachBodyParts Context triple: [Diamondhead, canReattachBodyParts, Yes]
-
A.
canDetach
Indicates that one entity is able to be separated or removed from another entity or from a larger whole.
-
B.
belongsToBody
Indicates that something is a part of, or under the ownership/authority of, a particular body or organization.
-
C.
hasBodySwapWith
Indicates a reciprocal relationship where two entities have exchanged bodies or physical forms with each other.
-
D.
hasMechanicalAppendages
Indicates that an entity possesses one or more appendages that are mechanical or artificially constructed rather than purely biological.
-
E.
usesBodyPart
Indicates that an entity performs an action or function by employing a specific body part as a means or tool.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:19 a.m.