Triple
T3313840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I, Too |
E69634
|
entity |
| Predicate | speakerIdentity |
P40912
|
FINISHED |
| Object | African American man |
—
|
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: African American man | Statement: [I, Too, speakerIdentity, African American man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speakerIdentity Context triple: [I, Too, speakerIdentity, African American man]
-
A.
speakerType
Indicates the role or category of a participant in a communicative act (e.g., narrator, quoted speaker, system voice) within a given context.
-
B.
speakerFeatures
chosen
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
C.
speaker2
Indicates that the referenced entity serves as the second speaker or interlocutor in a communicative interaction or dialogue.
-
D.
lastKnownSpeaker
Indicates the entity that was most recently identified or recorded as speaking in a given context or interaction.
-
E.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0ef548481908b3aabc7052c70d8 |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.