Triple
T4023505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That Reminds Me |
E91334
|
entity |
| Predicate | hasAmbiguityType |
P31777
|
FINISHED |
| Object | multiple creative works share this title |
—
|
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: multiple creative works share this title | Statement: [That Reminds Me, hasAmbiguityType, multiple creative works share this title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmbiguityType Context triple: [That Reminds Me, hasAmbiguityType, multiple creative works share this title]
-
A.
hasSingularityType
Indicates that an entity possesses or is characterized by a specific type or category of singularity.
-
B.
languageAmbiguity
chosen
Indicates that the meaning, interpretation, or reference of a linguistic expression is unclear or can be understood in multiple ways.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
E.
hasParType
Indicates that an entity has a specific parent type or category to which it belongs.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeface7a788190a0e4e549a6816f91 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.