Triple
T11949992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pippa Passes |
E284400
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Phene
Phene is a character in Robert Browning's verse drama "Pippa Passes," depicted as a young woman whose life is profoundly affected by the innocent songs of the protagonist, Pippa.
|
E956726
|
NE FINISHED |
How this triple was built (4 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: Phene | Statement: [Pippa Passes, hasCharacter, Phene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phene Context triple: [Pippa Passes, hasCharacter, Phene]
-
A.
Phale
Phale is a small village in eastern Nepal’s Taplejung District, situated along the trekking route to Kanchenjunga and inhabited largely by Tibetan-origin communities.
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
Phenax
Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
-
D.
Phelip
Phelip is a medieval given name of likely French or Latin origin that evolved into the modern surname and given name Phelps.
-
E.
Profian
Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Phene Triple: [Pippa Passes, hasCharacter, Phene]
Generated description
Phene is a character in Robert Browning's verse drama "Pippa Passes," depicted as a young woman whose life is profoundly affected by the innocent songs of the protagonist, Pippa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phene Target entity description: Phene is a character in Robert Browning's verse drama "Pippa Passes," depicted as a young woman whose life is profoundly affected by the innocent songs of the protagonist, Pippa.
-
A.
Phale
Phale is a small village in eastern Nepal’s Taplejung District, situated along the trekking route to Kanchenjunga and inhabited largely by Tibetan-origin communities.
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
Phenax
Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
-
D.
Phelip
Phelip is a medieval given name of likely French or Latin origin that evolved into the modern surname and given name Phelps.
-
E.
Profian
Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
- F. None of above. chosen
Provenance (5 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90364c2608190a3946c9595c71164 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458f16f088190a0005ff0fd4f547f |
completed | May 1, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69f45f86349c81909a806fd7be4008e9 |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4647ee1748190975bce3bbf51a3bc |
completed | May 1, 2026, 8:29 a.m. |
Created at: April 8, 2026, 9:45 p.m.