Triple
T5384609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sands of Iwo Jima |
E113171
|
entity |
| Predicate | titleCharacterRank |
P12208
|
FINISHED |
| Object | Sergeant |
—
|
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: Sergeant | Statement: [Sands of Iwo Jima, titleCharacterRank, Sergeant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterRank Context triple: [Sands of Iwo Jima, titleCharacterRank, Sergeant]
-
A.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
-
B.
titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
-
C.
titleHolderRank
Indicates the relative position or level of precedence assigned to a title holder within a ranked order or hierarchy.
-
D.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
E.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86f39edc81908e53973cef1bc0f3 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.