Triple
T3955349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Marston |
E84962
|
entity |
| Predicate | hasScar |
P53111
|
FINISHED |
| Object | facial scar on right side |
—
|
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: facial scar on right side | Statement: [John Marston, hasScar, facial scar on right side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScar Context triple: [John Marston, hasScar, facial scar on right side]
-
A.
hasTattoo
Indicates that one entity bears a tattoo on their body.
-
B.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
-
C.
hasScutes
Indicates that an entity possesses scutes, meaning it has bony or horny external plates as part of its body covering.
-
D.
hasSkull
Indicates that an entity possesses or is characterized by the presence of a skull.
-
E.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefaa3c6a08190bfe76629c7c98eea |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:30 p.m.