Triple
T9328687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Jones |
E224461
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Phylis |
E191124
|
NE 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: Phylis | Statement: [Jennifer Jones, givenName, Phylis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phylis Context triple: [Jennifer Jones, givenName, Phylis]
-
A.
Phyllis
chosen
Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
-
B.
Phyllis
Phyllis is a tragic figure from classical legend, often depicted as a wronged lover who is transformed into an almond tree after being abandoned.
-
C.
Phylicia
Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
-
D.
Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
-
E.
Sophina
Sophina is a feminine given name, likely a variant or elaboration of the name Sophie or Sophia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ab90ac8190b5c73f08dd091731 |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7f345d88190912b0f10e7ab68be |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:39 p.m.