Triple
T22189373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "You complete me." |
E548376
|
entity |
| Predicate | famousCompanionLine |
P84993
|
FINISHED |
| Object | "You had me at hello." |
—
|
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: "You had me at hello." | Statement: ["You complete me.", famousCompanionLine, "You had me at hello."]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousCompanionLine Context triple: ["You complete me.", famousCompanionLine, "You had me at hello."]
-
A.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
-
B.
famousLineSpeaker
chosen
Indicates that the subject is the person who spoke or delivered the famous line referenced by the object.
-
C.
companionOf
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
D.
famousTogetherWith
Indicates that two entities share fame or public recognition in association with each other, such that their notability is linked or commonly referenced together.
-
E.
romanticPartnerInSeries
Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.